@misc{kaggle2015,
    title = {{Right Whale Kaggle Competition}},
    howpublished = {
        \url{https://www.kaggle.com/c/noaa-right-whale-recognition}
    },
    note = {Accessed: 2015-10-01}
}

@misc{pcaWhitening,
    title = {{Whitening}},
    howpublished = {
        \url{http://ufldl.stanford.edu/wiki/index.php/Whitening}
    },
    note = {Accessed: 2015-10-01}
}


@misc{keras2015,
	title = {{Keras}},
	howpublished = {
		\url{http://keras.io/}
	},
	note = {Accessed: 2015-10-01}
}

@article{lecun1995convolutional,
  title={Convolutional networks for images, speech, and time series},
  author={LeCun, Yann and Bengio, Yoshua},
  journal={The handbook of brain theory and neural networks},
  volume={3361},
  number={10},
  year={1995}
}

@article{schmidhuber2015deep,
  title={Deep learning in neural networks: An overview},
  author={Schmidhuber, J{\"u}rgen},
  journal={Neural Networks},
  volume={61},
  pages={85--117},
  year={2015},
  publisher={Elsevier}
}

@inproceedings{boureau2010theoretical,
  title={A theoretical analysis of feature pooling in visual recognition},
  author={Boureau, Y-Lan and Ponce, Jean and LeCun, Yann},
  booktitle={Proceedings of the 27th International Conference on Machine Learning (ICML-10)},
  pages={111--118},
  year={2010}
}

@article{claudiu2010deep,
  title={Deep big simple neural nets excel on handwritten digit recognition},
  author={Claudiu Ciresan, Dan and Meier, Ueli and Gambardella, Luca Maria and Schmidhuber, Juergen},
  journal={arXiv preprint arXiv:1003.0358},
  year={2010}
}

@incollection{cirecsan2012deep,
  title={Deep big multilayer perceptrons for digit recognition},
  author={Cire{\c{s}}an, Dan Claudiu and Meier, Ueli and Gambardella, Luca Maria and Schmidhuber, J{\"u}rgen},
  booktitle={Neural Networks: Tricks of the Trade},
  pages={581--598},
  year={2012},
  publisher={Springer}
}

@inproceedings{krizhevsky2012imagenet,
  title={Imagenet classification with deep convolutional neural networks},
  author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
  booktitle={Advances in neural information processing systems},
  pages={1097--1105},
  year={2012}
}

@article{simonyan2014very,
  title={Very deep convolutional networks for large-scale image recognition},
  author={Simonyan, Karen and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1409.1556},
  year={2014}
}

@article{sermanet2013overfeat,
  title={Overfeat: Integrated recognition, localization and detection using convolutional networks},
  author={Sermanet, Pierre and Eigen, David and Zhang, Xiang and Mathieu, Micha{\"e}l and Fergus, Rob and LeCun, Yann},
  journal={arXiv preprint arXiv:1312.6229},
  year={2013}
}

@article{hinton2006fast,
  title={A fast learning algorithm for deep belief nets},
  author={Hinton, Geoffrey E and Osindero, Simon and Teh, Yee-Whye},
  journal={Neural computation},
  volume={18},
  number={7},
  pages={1527--1554},
  year={2006},
  publisher={MIT Press}
}

@inproceedings{poultney2006efficient,
  title={Efficient learning of sparse representations with an energy-based model},
  author={Poultney, Christopher and Chopra, Sumit and Cun, Yann L and others},
  booktitle={Advances in neural information processing systems},
  pages={1137--1144},
  year={2006}
}

@inproceedings{chellapilla2006high,
  title={High performance convolutional neural networks for document processing},
  author={Chellapilla, Kumar and Puri, Sidd and Simard, Patrice},
  booktitle={Tenth International Workshop on Frontiers in Handwriting Recognition},
  year={2006},
  organization={Suvisoft}
}

@inproceedings{cirecsan2011convolutional,
  title={Convolutional neural network committees for handwritten character classification},
  author={Cire{\c{s}}an, Dan Claudiu and Meier, Ueli and Gambardella, Luca Maria and Schmidhuber, J{\"u}rgen},
  booktitle={Document Analysis and Recognition (ICDAR), 2011 International Conference on},
  pages={1135--1139},
  year={2011},
  organization={IEEE}
}

@inproceedings{ciresan2012multi,
  title={Multi-column deep neural networks for image classification},
  author={Ciresan, Dan and Meier, Ueli and Schmidhuber, J{\"u}rgen},
  booktitle={Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on},
  pages={3642--3649},
  year={2012},
  organization={IEEE}
}

@article{whitley1990genetic,
	title={Genetic algorithms and neural networks: Optimizing connections and connectivity},
	author={Whitley, Darrell and Starkweather, Timothy and Bogart, Christopher},
	journal={Parallel computing},
	volume={14},
	number={3},
	pages={347--361},
	year={1990},
	publisher={Elsevier}
}

@inproceedings{kitano1990empirical,
	title={Empirical Studies on the Speed of Convergence of Neural Network Training Using Genetic Algorithms.},
	author={Kitano, Hiroaki},
	booktitle={AAAI},
	pages={789--795},
	year={1990}
}

@article{leung2003tuning,
	title={Tuning of the structure and parameters of a neural network using an improved genetic algorithm},
	author={Leung, Frank HF and Lam, Hak-Keung and Ling, Sai-Ho and Tam, Peter KS},
	journal={Neural Networks, IEEE Transactions on},
	volume={14},
	number={1},
	pages={79--88},
	year={2003},
	publisher={IEEE}
}

@inproceedings{montana1989training,
	title={Training Feedforward Neural Networks Using Genetic Algorithms.},
	author={Montana, David J and Davis, Lawrence},
	booktitle={IJCAI},
	volume={89},
	pages={762--767},
	year={1989}
}

@book{john1992adaptation,
	title={Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence},
	author={John Henry Holland},
	year={1992},
	publisher={MIT press}
}

@book{mitchell1998introduction,
	title={An introduction to genetic algorithms},
	author={Mitchell, Melanie},
	year={1998},
	publisher={MIT press}
}

@inproceedings{glorot2011deep,
  title={Deep sparse rectifier neural networks},
  author={Glorot, Xavier and Bordes, Antoine and Bengio, Yoshua},
  booktitle={International Conference on Artificial Intelligence and Statistics},
  pages={315--323},
  year={2011}
}

@article{simonyan2014very,
  title={Very deep convolutional networks for large-scale image recognition},
  author={Simonyan, Karen and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1409.1556},
  year={2014}
}

@article{srivastava2014dropout,
  title={Dropout: A simple way to prevent neural networks from overfitting},
  author={Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
  journal={The Journal of Machine Learning Research},
  volume={15},
  number={1},
  pages={1929--1958},
  year={2014},
  publisher={JMLR. org}
}

@misc{lecun1998mnist,
	title={The MNIST database of handwritten digits},
	author={LeCun, Yann and Cortes, Corinna and Burges, Christopher JC},
	year={1998}
}

@article{miller1995genetic,
	title={Genetic algorithms, tournament selection, and the effects of noise},
	author={Miller, Brad L and Goldberg, David E},
	journal={Complex Systems},
	volume={9},
	number={3},
	pages={193--212},
	year={1995},
	publisher={[Champaign, IL, USA: Complex Systems Publications, Inc., c1987-}
}

@article{otsu1975threshold,
  title={A threshold selection method from gray-level histograms},
  author={Otsu, Nobuyuki},
  journal={Automatica},
  volume={11},
  number={285-296},
  pages={23--27},
  year={1975}
}

@book{haralock1991computer,
  title={Computer and robot vision},
  author={Haralock, Robert M and Shapiro, Linda G},
  year={1991},
  publisher={Addison-Wesley Longman Publishing Co., Inc.}
}

@book{davies2004machine,
  title={Machine vision: theory, algorithms, practicalities},
  author={Davies, E Roy},
  year={2004},
  publisher={Elsevier}
}


@INPROCEEDINGS{GaborFilter, 
author={Rahman, M.T. and Bhuiyan, M.A.}, 
booktitle={Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on}, 
title={Face recognition using Gabor Filters}, 
year={2008}, 
pages={510-515}, 
keywords={Gabor filters;backpropagation;convolution;face recognition;image morphing;image representation;multilayer perceptrons;neural net architecture;Gabor features;Gabor filter coefficient;Gabor filters;Gabor jet;RMS contrast;backpropegation algorithm;convolution filter response;face recognition;face representation;morphed images;multilayer perceptron architecture;neural networks;Computer science;Convolution;Face recognition;Frequency;Gabor filters;Histograms;Image recognition;Information technology;Lighting;Neural networks;Face Recognition;Gabor Filters;Morphing;RMS Contrast}, 
doi={10.1109/ICCITECHN.2008.4803030}, 
month={Dec},}

@INPROCEEDINGS{GaborFilter2, 
author={Shrivakshan, G.T.}, 
booktitle={Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference on}, 
title={An analysis of SOBEL and GABOR image filters for identifying fish}, 
year={2013}, 
pages={115-119}, 
keywords={aquaculture;computer vision;edge detection;filtering theory;Gabor image filter;Matlab tool;Sobel image filter;computer vision system;deep sea;edge characterization boundary;image edge detection technique;object recognition;shark fish identification;Gabor filters;Image edge detection;Marine animals;Pattern recognition;Teeth;Wavelet transforms;Edge-detection;Gabor;Image processing;Sobel}, 
doi={10.1109/ICPRIME.2013.6496457}, 
month={Feb},}

@article{farabet2013learning,
	title={Learning hierarchical features for scene labeling},
	author={Farabet, Clement and Couprie, Camille and Najman, Laurent and LeCun, Yann},
	journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
	volume={35},
	number={8},
	pages={1915--1929},
	year={2013},
	publisher={IEEE}
}


@inproceedings{vincent2008extracting,
	title={Extracting and composing robust features with denoising autoencoders},
	author={Vincent, Pascal and Larochelle, Hugo and Bengio, Yoshua and Manzagol, Pierre-Antoine},
	booktitle={Proceedings of the 25th international conference on Machine learning},
	pages={1096--1103},
	year={2008},
	organization={ACM}
}

@INPROCEEDINGS{Gabor1, 
author={Rahman, M.T. and Bhuiyan, M.A.}, 
booktitle={Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on}, 
title={Face recognition using Gabor Filters}, 
year={2008}, 
pages={510-515}, 
keywords={Gabor filters;backpropagation;convolution;face recognition;image morphing;image representation;multilayer perceptrons;neural net architecture;Gabor features;Gabor filter coefficient;Gabor filters;Gabor jet;RMS contrast;backpropegation algorithm;convolution filter response;face recognition;face representation;morphed images;multilayer perceptron architecture;neural networks;Computer science;Convolution;Face recognition;Frequency;Gabor filters;Histograms;Image recognition;Information technology;Lighting;Neural networks;Face Recognition;Gabor Filters;Morphing;RMS Contrast}, 
doi={10.1109/ICCITECHN.2008.4803030}, 
month={Dec},}


@INPROCEEDINGS{Gabor2, 
author={Shrivakshan, G.T.}, 
booktitle={Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference on}, 
title={An analysis of SOBEL and GABOR image filters for identifying fish}, 
year={2013}, 
pages={115-119}, 
keywords={aquaculture;computer vision;edge detection;filtering theory;Gabor image filter;Matlab tool;Sobel image filter;computer vision system;deep sea;edge characterization boundary;image edge detection technique;object recognition;shark fish identification;Gabor filters;Image edge detection;Marine animals;Pattern recognition;Teeth;Wavelet transforms;Edge-detection;Gabor;Image processing;Sobel}, 
doi={10.1109/ICPRIME.2013.6496457}, 
month={Feb},}